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| Eric Jones, Paul Runkle, Nilanjan Dasgupta, Luise Couchman, Lawrence Carin, "Genetic Algorithm Wavelet Design for Signal Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 8, pp. 890-895, August, 2001. | |||
| BibTex | x | ||
| @article{ 10.1109/34.946991, author = {Eric Jones and Paul Runkle and Nilanjan Dasgupta and Luise Couchman and Lawrence Carin}, title = {Genetic Algorithm Wavelet Design for Signal Classification}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {23}, number = {8}, issn = {0162-8828}, year = {2001}, pages = {890-895}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.946991}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Genetic Algorithm Wavelet Design for Signal Classification IS - 8 SN - 0162-8828 SP890 EP895 EPD - 890-895 A1 - Eric Jones, A1 - Paul Runkle, A1 - Nilanjan Dasgupta, A1 - Luise Couchman, A1 - Lawrence Carin, PY - 2001 KW - Genetic algorithms KW - wavelets KW - classification. VL - 23 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—Biorthogonal wavelets are applied to parse multiaspect transient scattering data in the context of signal classification. A language-based genetic algorithm is used to design wavelet filters that enhance classification performance. The biorthogonal wavelets are implemented via the lifting procedure and the optimization is carried out using a classification-based cost function. Example results are presented for target classification using measured scattering data.
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